Senior Data Scientist, Product Analytics
Leading data-driven product analytics initiatives, defining KPIs, running experiments, and collaborating with cross-functional teams to drive product improvements.
Responsibilities
- Analyze large and complex datasets to solve product and business challenges.
- Define, monitor, and optimize key product metrics and KPIs.
- Design and execute analytical studies, experiments, and statistical analyses to drive product improvements.
- Identify growth opportunities and uncover actionable insights through data.
- Partner with Product, Engineering, and business stakeholders to influence product strategy and roadmap decisions.
- Communicate findings clearly and effectively to both technical and non-technical audiences.
- Lead data-driven initiatives from problem definition to execution and impact measurement.
Requirements
- Bachelor’s degree in Statistics, Mathematics, Computer Science, or a related quantitative field.
- 8+ years of experience in Data Science, Product Analytics, or a similar analytical role.
- Strong hands-on experience with SQL and Python.
- Proven experience leading end-to-end analytical projects, including metric definition, experimentation, analysis, and executive-level communication.
- Strong understanding of user behavior analysis, product ecosystems, and long-term business trends.
- Excellent stakeholder management and cross-functional collaboration skills.
Nice to have
- Master’s degree or Ph.D. in a quantitative discipline.
- Experience leveraging AI tools to optimize workflows and drive business impact.
- Knowledge of responsible and ethical AI practices, including quality, accuracy, and risk mitigation.
- Passion for continuous learning and staying current with emerging AI technologies.